完整的员工工作方法、协调和监督与领导决策执行的关系

Arpi R. Rondonuwu, Ferry V.I.A. Koagouw, Sarah Sambiran, Agustinus B. Pati
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引用次数: 0

摘要

本研究旨在建立一个政府管理决策的模型。这符合联合国安全理事会的一项基本原则,即全面的社会和法律保护,在这种情况下,通过决策制定政策提供良好的政府服务。本研究采用定量描述方法进行。数据收集是通过进行调查来进行的,使用的数据是使用数据收集工具以已准备好的问题清单或问卷的形式直接从受访者那里获得的原始数据。同时,从进行研究的机构的各种官方出版物中获得辅助数据。作为本研究的受访者样本是高层领导,如;市长、副市长、市书记,以及3名助理及科长、分科长、分科下属员工等中层领导,样本量为45人。研究变量以全员工作法执行情况(X1)、协调执行情况(X2)、内在监督执行情况(X3)为自变量或自变量,决策执行效果(Y)为因变量或因变量。采用积矩相关分析模型对数据进行分析,了解自变量与因变量之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and Relationship of Complete Staff Work Methods, Coordination and Supervision with the Implementation of Leadership Decision Making
This research is intended to develop a model in decision making in government management. This is in accordance with one of Unsrat's RIPs, namely comprehensive social and legal protection, in this case good government services through decision making in making policies. This research was conducted using a quantitative descriptive method. Data collection was carried out by conducting a survey, the data used was primary data obtained directly from respondents using a data collection tool in the form of a list of questions or questionnaires that had been prepared. Meanwhile, secondary data was obtained from various official publications at the institution where the research was conducted. As a sample of respondents in this study are leaders at the top level such as; Mayor, Deputy Mayor, City Secretary, and 3 assistants and middle-level leaders such as heads of divisions and heads of subdivisions, employees who are subordinates to subdivisions, with a sample size of 45 people. The variables studied were the implementation of the complete staff work method (X1), the implementation of coordination (X2), and the implementation of inherent supervision (X3) as independent variables or independent variables, and the effectiveness of decision-making implementation (Y) as the dependent variable or dependent variable. Data were analyzed using the product moment correlation analysis model to see the relationship between the independent variables and the dependent variable.
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